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Make data reliable

Trust

A flow that runs is not the same as a flow you can trust. Trust is about evidence: observability on the pipeline, tests that prove behaviour, and lineage that holds up in an audit.

The practice

Two forces are converging here. Regulation is turning data control into a recurring budget line, because DORA, NIS2, the EU Data Act and the AI Act all ask the same question in different words: can you show us where this data came from, who touched it, and what happens when it breaks. And AI raises the bar from the other side, since a model reading stale or duplicated data produces confident nonsense.

Trust is where integration expertise becomes an assurance service. Because we instrumented the flow, we can tell you when it drifts. Because we wrote the mapping, we can prove what it does. That is a very different starting point from a tool arriving after the fact.

Detect anomalies before the business does, prove that a flow behaves as specified, and demonstrate control to an auditor or a regulator.

Our architecture

Each layer builds on the one inside it

Each layer builds on the one inside it. Integration Services (Move): ESB and legacy middleware, Event streaming (Kafka), iPaaS, API management, AI data pipelines. Data Governance (Trust): Data cartography and catalogue, Data quality and remediation, MDM and reference data, Lineage and traceability, Compliance and security, EU sovereign cloud. AI Activation (Activate): Sector AI agents, Data readiness and feature engineering, Activation and serving layer, AgentOps and MLOps, AI governance. Data residency and control: GDPR, NIS2, DORA, AI Act.
* Figures in brackets: global market size in billions of US dollars (banking and finance AI agents stated in millions), horizons 2030 to 2035 depending on the segment. Sources: Mordor Intelligence, Grand View Research, Gartner.

Why Satisco

What makes this pillar ours

Evidence, not decoration

Every engagement ends with something a second line of defence or an external auditor can read: a lineage map, a reconciliation report, a test dossier.

Instrumentation from the inside

We measure quality where the data actually moves, inside ACE, MQ, Sterling and the transformation layer, not only at the warehouse door.

The regulatory calendar as a plan

DORA registers, NIS2 registration, the CBPR+ cut-off, Data Act clauses. Dated obligations make for bounded, provable scopes.

Let's start with what actually flows today.

A 5 to 15 day assessment gives you a flow map, a gap analysis and a costed plan. Short, fixed price, written to be signed by a decision-maker.

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